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mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 1, "1": 462, "2": 1, "3": 273}, "net_accuracy": 0.24420145791915177}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 573, "1": 76, "2": 2, "3": 30}, "net_accuracy": 0.22564612326043737}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 447, "1": 204, "2": 0, "3": 9}, "net_accuracy": 0.21868787276341947}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 475, "1": 70, "2": 74, "3": 37}, "net_accuracy": 0.21736249171636846}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 4, "2": 135, "3": 712}, "net_accuracy": 0.281974817760106}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 18, "1": 458, "2": 165, "3": 91}, "net_accuracy": 0.24254473161033796}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 7, "1": 13, "2": 746, "3": 14}, "net_accuracy": 0.2584493041749503}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 586, "1": 9, "2": 41, "3": 0}, "net_accuracy": 0.21073558648111332}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 643, "1": 0, "2": 1, "3": 0}, "net_accuracy": 0.21338634857521538}

mmlu_STEM/few_shot_5/gpt2-medium/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

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+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 219, "1": 198, "2": 116, "3": 143}, "net_accuracy": 0.2239893969516236}